In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data Found celeba Data
show_n_images = 25
"""
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"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
<matplotlib.image.AxesImage at 0x1f4876c56d8>
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.
show_n_images = 25
"""
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"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
<matplotlib.image.AxesImage at 0x1f4877ade80>
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.
The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).
You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputsdiscriminatorgeneratormodel_lossmodel_opttrainThis will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.1.0 Default GPU Device: /gpu:0
Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width, image_height, and image_channels.z_dim.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
input_real = tf.placeholder(tf.float32, shape=(None, image_width, image_height, image_channels), name='input_real')
input_z = tf.placeholder(tf.float32, shape=(None, z_dim), name = 'input_z')
learning_rate = tf.placeholder(tf.float32, name='learning_rate')
return (input_real, input_z, learning_rate)
"""
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"""
tests.test_model_inputs(model_inputs)
Tests Passed
Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the generator, tensor logits of the generator).
tf.reset_default_graph()
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param image: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
alpha = 0.2
with tf.variable_scope('discriminator', reuse=reuse):
#28x28x3 ---> 14, 14, 128
conv1 = tf.layers.conv2d(images, 128, 4, strides=2, padding='same')
relu1 = tf.maximum(alpha * conv1, conv1)
assert conv1.get_shape()[1:] == (14, 14, 128), conv1.get_shape()
#14, 14, 128 ---> 7, 7, 256
conv2 = tf.layers.conv2d(relu1, 256, 4, strides=2, padding='same')
bn2 = tf.layers.batch_normalization(conv2, training=True)
relu2 = tf.maximum(alpha * bn2, bn2)
assert bn2.get_shape()[1:] == (7, 7, 256), bn2.get_shape()
#7, 7, 256 ----> 4, 4, 512
conv3 = tf.layers.conv2d(relu2, 512, 4, strides=2, padding='same')
conv3 = tf.layers.batch_normalization(conv3, training=True)
relu3 = tf.maximum(alpha * conv3, conv3)
assert conv3.get_shape()[1:] == (4, 4, 512), conv3.get_shape()
# Flatten it
#flat = tf.contrib.layers.flatten(relu3)
flat = tf.reshape(relu3, (-1, 4*4*256))
logits = tf.layers.dense(flat, 1)
out = tf.sigmoid(logits)
return out, logits
"""
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"""
tests.test_discriminator(discriminator, tf)
Tests Passed
Implement generator to generate an image using z. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.
tf.reset_default_graph()
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
alpha = 0.2
with tf.variable_scope('generator', reuse=not is_train):
#fully connected layer
conv1 = tf.layers.dense(z, 2 * 2 * 512)
# first reverse convolution -> 2x2x512
conv1 = tf.reshape(conv1, (-1, 2, 2, 512))
conv1 = tf.layers.batch_normalization(conv1, training=is_train)
conv1 = tf.maximum(alpha * conv1, conv1)
assert conv1.get_shape()[1:] == (2, 2, 512), conv1.get_shape()
# second reverse convolution, -> 7x7x256
conv2 = tf.layers.conv2d_transpose(conv1, 256, 5, strides=2, padding='valid')
conv2 = tf.layers.batch_normalization(conv2, training=is_train)
conv2 = tf.maximum(alpha * conv2, conv2)
assert conv2.get_shape()[1:] == (7, 7, 256), conv2.get_shape()
# third reverse convolution, -> 14x14x128
conv3 = tf.layers.conv2d_transpose(conv2, 128, 5, strides=2, padding='same')
conv3 = tf.layers.batch_normalization(conv3, training=is_train)
conv3 = tf.maximum(alpha * conv3, conv3)
assert conv3.get_shape()[1:] == (14, 14, 128), conv3.get_shape()
# Output layer
logits = tf.layers.conv2d_transpose(conv3, out_channel_dim, 5, strides=2, padding='same')
assert logits.get_shape()[1:] == (28, 28, out_channel_dim), logits.get_shape()
out = tf.tanh(logits)
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed
Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)generator(z, out_channel_dim, is_train=True)def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
# TODO: Implement Function
smooth = 0.9
# Build the model
g_model = generator(input_z, out_channel_dim, is_train=True)
d_model_real, d_logits_real = discriminator(input_real)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
# Calculate losses
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real,
labels=tf.ones_like(d_logits_real) * smooth))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake,
labels=tf.zeros_like(d_logits_real)))
d_loss = d_loss_real + d_loss_fake
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake,
labels=tf.ones_like(d_logits_fake) * smooth))
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed
Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
# Get the trainable_variables, split into G and D parts
t_vars = tf.trainable_variables()
g_vars = [var for var in t_vars if var.name.startswith('generator')]
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
return d_train_opt, g_train_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)model_loss(input_real, input_z, out_channel_dim)model_opt(d_loss, g_loss, learning_rate, beta1)Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
_, image_width, image_height, image_channels = data_shape
input_real, input_z, learn_rate = model_inputs(image_width, image_height, image_channels, z_dim)
d_loss, g_loss = model_loss(input_real, input_z, image_channels)
d_train_opt, g_train_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
d_losses = []
g_losses = []
for b, batch_images in enumerate(get_batches(batch_size)):
# TODO: Train Model
# Sample random noise for G
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
# Run optimizers
_, dis_loss = sess.run([d_train_opt, d_loss], feed_dict={input_real: batch_images * 2, input_z: batch_z, learn_rate: learning_rate})
_, gen_loss = sess.run([g_train_opt, g_loss], feed_dict={input_real: batch_images * 2, input_z: batch_z, learn_rate: learning_rate})
d_losses.append(dis_loss)
g_losses.append(gen_loss)
print('Batch: {} - Discriminator Loss: {} - Generator Loss: {}'.format(b, dis_loss, gen_loss))
if b % 100 == 0:
show_generator_output(sess, 25, input_z, image_channels, data_image_mode)
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 128 #32
z_dim = 100
learning_rate = 0.001
beta1 = 0.2
tf.reset_default_graph()
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Batch: 0 - Discriminator Loss: 1.5490458011627197 - Generator Loss: 15.471494674682617
Batch: 1 - Discriminator Loss: 20.363542556762695 - Generator Loss: 14.167376518249512 Batch: 2 - Discriminator Loss: 7.0914201736450195 - Generator Loss: 0.7734339237213135 Batch: 3 - Discriminator Loss: 10.071846008300781 - Generator Loss: 9.039796829223633 Batch: 4 - Discriminator Loss: 0.9290845990180969 - Generator Loss: 4.645222187042236 Batch: 5 - Discriminator Loss: 3.8752050399780273 - Generator Loss: 11.99703311920166 Batch: 6 - Discriminator Loss: 4.18848991394043 - Generator Loss: 3.776157855987549 Batch: 7 - Discriminator Loss: 3.4838597774505615 - Generator Loss: 8.02049446105957 Batch: 8 - Discriminator Loss: 1.8821690082550049 - Generator Loss: 2.6427621841430664 Batch: 9 - Discriminator Loss: 4.15925407409668 - Generator Loss: 7.363731861114502 Batch: 10 - Discriminator Loss: 2.9862048625946045 - Generator Loss: 2.634584426879883 Batch: 11 - Discriminator Loss: 1.793729543685913 - Generator Loss: 4.570260047912598 Batch: 12 - Discriminator Loss: 1.8435049057006836 - Generator Loss: 2.0969552993774414 Batch: 13 - Discriminator Loss: 2.832643508911133 - Generator Loss: 5.944619178771973 Batch: 14 - Discriminator Loss: 2.285851240158081 - Generator Loss: 1.2229409217834473 Batch: 15 - Discriminator Loss: 2.461012840270996 - Generator Loss: 3.9743504524230957 Batch: 16 - Discriminator Loss: 2.369658946990967 - Generator Loss: 1.397281527519226 Batch: 17 - Discriminator Loss: 2.6118381023406982 - Generator Loss: 2.6802053451538086 Batch: 18 - Discriminator Loss: 1.651123046875 - Generator Loss: 1.4812648296356201 Batch: 19 - Discriminator Loss: 1.3763346672058105 - Generator Loss: 1.6781091690063477 Batch: 20 - Discriminator Loss: 1.3132394552230835 - Generator Loss: 2.5713582038879395 Batch: 21 - Discriminator Loss: 1.7563536167144775 - Generator Loss: 1.9602086544036865 Batch: 22 - Discriminator Loss: 1.8851186037063599 - Generator Loss: 2.064662456512451 Batch: 23 - Discriminator Loss: 1.8644459247589111 - Generator Loss: 2.129530668258667 Batch: 24 - Discriminator Loss: 1.5765507221221924 - Generator Loss: 2.0941710472106934 Batch: 25 - Discriminator Loss: 1.2047699689865112 - Generator Loss: 1.5275686979293823 Batch: 26 - Discriminator Loss: 1.2910568714141846 - Generator Loss: 2.337907075881958 Batch: 27 - Discriminator Loss: 1.3573155403137207 - Generator Loss: 2.1049561500549316 Batch: 28 - Discriminator Loss: 1.3912689685821533 - Generator Loss: 2.2935900688171387 Batch: 29 - Discriminator Loss: 1.311486840248108 - Generator Loss: 2.123988628387451 Batch: 30 - Discriminator Loss: 1.447791337966919 - Generator Loss: 2.663438081741333 Batch: 31 - Discriminator Loss: 1.5045973062515259 - Generator Loss: 1.9818583726882935 Batch: 32 - Discriminator Loss: 1.0387786626815796 - Generator Loss: 2.296215534210205 Batch: 33 - Discriminator Loss: 1.0281404256820679 - Generator Loss: 2.1919074058532715 Batch: 34 - Discriminator Loss: 1.1403791904449463 - Generator Loss: 2.2943649291992188 Batch: 35 - Discriminator Loss: 1.4471434354782104 - Generator Loss: 2.1677401065826416 Batch: 36 - Discriminator Loss: 1.4947047233581543 - Generator Loss: 2.886533260345459 Batch: 37 - Discriminator Loss: 1.5682942867279053 - Generator Loss: 2.278599262237549 Batch: 38 - Discriminator Loss: 1.6698110103607178 - Generator Loss: 4.765143871307373 Batch: 39 - Discriminator Loss: 1.6419990062713623 - Generator Loss: 1.7224454879760742 Batch: 40 - Discriminator Loss: 0.8496444225311279 - Generator Loss: 2.888948440551758 Batch: 41 - Discriminator Loss: 0.7530678510665894 - Generator Loss: 1.4614018201828003 Batch: 42 - Discriminator Loss: 1.1633069515228271 - Generator Loss: 4.0071024894714355 Batch: 43 - Discriminator Loss: 1.6251670122146606 - Generator Loss: 0.8225813508033752 Batch: 44 - Discriminator Loss: 1.9200974702835083 - Generator Loss: 4.812820911407471 Batch: 45 - Discriminator Loss: 1.8533984422683716 - Generator Loss: 1.5880837440490723 Batch: 46 - Discriminator Loss: 1.3709297180175781 - Generator Loss: 4.393609046936035 Batch: 47 - Discriminator Loss: 1.4152169227600098 - Generator Loss: 1.8568025827407837 Batch: 48 - Discriminator Loss: 1.0639927387237549 - Generator Loss: 3.1432862281799316 Batch: 49 - Discriminator Loss: 0.988886833190918 - Generator Loss: 1.8086258172988892 Batch: 50 - Discriminator Loss: 1.6080394983291626 - Generator Loss: 4.288939952850342 Batch: 51 - Discriminator Loss: 1.8217326402664185 - Generator Loss: 1.0474393367767334 Batch: 52 - Discriminator Loss: 1.7374134063720703 - Generator Loss: 3.8549306392669678 Batch: 53 - Discriminator Loss: 1.5798683166503906 - Generator Loss: 1.0867277383804321 Batch: 54 - Discriminator Loss: 1.3652125597000122 - Generator Loss: 2.519639492034912 Batch: 55 - Discriminator Loss: 1.0643739700317383 - Generator Loss: 1.327797293663025 Batch: 56 - Discriminator Loss: 1.07034170627594 - Generator Loss: 2.611351251602173 Batch: 57 - Discriminator Loss: 0.9824597835540771 - Generator Loss: 1.4147156476974487 Batch: 58 - Discriminator Loss: 1.2594369649887085 - Generator Loss: 3.509688377380371 Batch: 59 - Discriminator Loss: 1.1473549604415894 - Generator Loss: 1.4339231252670288 Batch: 60 - Discriminator Loss: 1.6577301025390625 - Generator Loss: 5.092557430267334 Batch: 61 - Discriminator Loss: 1.3251638412475586 - Generator Loss: 1.2025858163833618 Batch: 62 - Discriminator Loss: 1.376535415649414 - Generator Loss: 3.3284339904785156 Batch: 63 - Discriminator Loss: 1.1232151985168457 - Generator Loss: 1.341568946838379 Batch: 64 - Discriminator Loss: 0.9404802322387695 - Generator Loss: 2.22445011138916 Batch: 65 - Discriminator Loss: 0.9107868671417236 - Generator Loss: 1.6515545845031738 Batch: 66 - Discriminator Loss: 1.26186203956604 - Generator Loss: 2.8916807174682617 Batch: 67 - Discriminator Loss: 1.4883114099502563 - Generator Loss: 1.4783532619476318 Batch: 68 - Discriminator Loss: 1.4193673133850098 - Generator Loss: 3.6263065338134766 Batch: 69 - Discriminator Loss: 1.5372116565704346 - Generator Loss: 1.5474495887756348 Batch: 70 - Discriminator Loss: 1.592289924621582 - Generator Loss: 5.275474548339844 Batch: 71 - Discriminator Loss: 1.6681878566741943 - Generator Loss: 0.8961522579193115 Batch: 72 - Discriminator Loss: 1.2994493246078491 - Generator Loss: 2.5649678707122803 Batch: 73 - Discriminator Loss: 1.1586569547653198 - Generator Loss: 1.0599946975708008 Batch: 74 - Discriminator Loss: 1.184408187866211 - Generator Loss: 2.435122013092041 Batch: 75 - Discriminator Loss: 1.217052698135376 - Generator Loss: 0.9875829219818115 Batch: 76 - Discriminator Loss: 1.1101667881011963 - Generator Loss: 2.651470184326172 Batch: 77 - Discriminator Loss: 0.9068196415901184 - Generator Loss: 1.4857819080352783 Batch: 78 - Discriminator Loss: 0.8434339165687561 - Generator Loss: 2.943526268005371 Batch: 79 - Discriminator Loss: 0.722149133682251 - Generator Loss: 1.9944674968719482 Batch: 80 - Discriminator Loss: 0.8280514478683472 - Generator Loss: 3.136702299118042 Batch: 81 - Discriminator Loss: 0.8497717976570129 - Generator Loss: 1.7287148237228394 Batch: 82 - Discriminator Loss: 1.7032406330108643 - 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Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 128
z_dim = 100
learning_rate = 0.0002 #0.0001
beta1 = 0.2
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 16
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
Batch: 0 - Discriminator Loss: 1.5973303318023682 - Generator Loss: 2.909667491912842
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When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.